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Electrical Engineering Expert

Role overview

Qualifications

  • Master’s or PhD in Electrical Engineering or a closely related field
  • Strong research or industry experience in electrical systems, electronics, signal processing, controls, communications, or power engineering
  • Strong mathematical and computational problem-solving skills
  • Solid grasp of circuit analysis, modeling, numerical methods, and engineering fundamentals

Responsibilities

  • Design advanced electrical engineering problems for frontier AI training and evaluation
  • Create deterministic problems with exactly one correct answer
  • Write complete, verified solutions and clearly document the reasoning process
  • Develop problems involving circuits, electronics, signal processing, control systems, electromagnetics, power systems, or communications

Key facts

Hard skills

Other skills

  • Problem Solving
  • Communication
  • Analytical Skills
  • Detail Oriented

About the company

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Anyone AI

  • Vocational Training & Bootcamps
  • 11–50
We invest in talent from Latam to bridge the talent gap in AI. Join our AI community: www.anyoneai.com We are AI / ML experts and second-time entrepreneurs, members of the founding team at Deep Vision AI (acquired in early 2020). We've worked with many Fortune 500 companies completing multiple projects in the early days of AI while leveraging remote talent from LatAm. We are VC-backed from day 1 by top global investors like GFC -Global Founders Capital- (investors in Facebook, LinkedIn, Slack, Canva, Trivago, etc), Canvas Ventures (early investor in Coursera), Latitud Fund (the largest community of angel investors for LatAm including investments in QuintoAndar, La Haus, Clara, Platzi, OnTop, Pomelo, etc), among other investors.

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Job description

Help shape the future of AI by designing challenging electrical engineering problems that test and improve reasoning in cutting-edge models.

  • Location: Remote

  • Type: Contract / Part-time

  • Commitment: 20 hours per week

  • Compensation: Up to 40 USD / hr

  • Project duration: 2 months, with potential extension

  • Availability: Immediate start

About the role

We create high-quality STEM training data for frontier AI models. Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains.

We are looking for experts in Electrical Engineering to design rigorous, deterministic problems that are genuinely challenging for state-of-the-art AI systems. Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution.

What you’ll do

  • Design advanced electrical engineering problems for frontier AI training and evaluation

  • Create deterministic problems with exactly one correct answer

  • Write complete, verified solutions and clearly document the reasoning process

  • Develop problems involving circuits, electronics, signal processing, control systems, electromagnetics, power systems, or communications

  • Create problems that require multi-step quantitative reasoning and engineering judgment

  • Where relevant, use Python, MATLAB/Simulink, SPICE, or specialized engineering software to validate solutions

  • Ensure all outputs are technically precise, reproducible, and well-written in English

What we’re looking for

  • Master’s or PhD in Electrical Engineering or a closely related field

  • Strong research or industry experience in electrical systems, electronics, signal processing, controls, communications, or power engineering

  • Strong mathematical and computational problem-solving skills

  • Solid grasp of circuit analysis, modeling, numerical methods, and engineering fundamentals

  • Ability to design original, difficult problems that mirror real electrical engineering workflows

  • Excellent attention to detail and technical writing skills in English

Nice to have

  • Experience with MATLAB/Simulink, Python, LTspice, PSpice, PSCAD, LabVIEW, or similar tools

  • Background in control theory, digital signal processing, power electronics, RF systems, or embedded systems

  • Experience evaluating model reasoning, developing benchmarks, or creating technical assessments

  

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